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2020 – today
- 2025
[j4]Xiaoyi Cai
, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How:
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. IEEE Robotics Autom. Lett. 10(3): 2359-2366 (2025)- [j3]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Policy Improvement Algorithms With Theoretically Supported Sample Reuse. IEEE Trans. Autom. Control. 70(2): 1236-1243 (2025) - 2024
- [j2]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. 2024 (2024) - [j1]James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CDC 2024: 1147-1152 - [i11]Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR abs/2402.18836 (2024) - [i10]Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR abs/2405.16668 (2024) - [i9]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR abs/2407.12792 (2024) - [i8]Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How:
PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. CoRR abs/2409.03005 (2024) - [i7]James Queeney, Xiaoyi Cai, Mouhacine Benosman, Jonathan P. How:
GRAM: Generalization in Deep RL with a Robust Adaptation Module. CoRR abs/2412.04323 (2024) - 2023
- [c3]James Queeney, Mouhacine Benosman:
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning. NeurIPS 2023 - [i6]James Queeney, Mouhacine Benosman:
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning. CoRR abs/2301.12593 (2023) - [i5]James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. CoRR abs/2301.13375 (2023) - [i4]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR abs/2309.17371 (2023) - 2022
- [i3]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse. CoRR abs/2206.13714 (2022) - 2021
- [c2]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. AAAI 2021: 9377-9385 - [c1]James Queeney, Yannis Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. NeurIPS 2021: 11909-11919 - [i2]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. CoRR abs/2111.00072 (2021) - 2020
- [i1]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. CoRR abs/2012.10791 (2020)
Coauthor Index
aka: Yannis Paschalidis
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